Hi, On Sun, Oct 2, 2011 at 2:47 PM, <bby2...@columbia.edu> wrote: > Hello, > > I'm trying to separate my dataset into 4 parts with the 4th one as the test > dataset, and the other three to fit a model. > > I've been searching for the difference between these 2 functions in Caret > package, but the most I can get is this-- > > A series of test/training partitions are created using createDataPartition > while createResample creates one or more bootstrap samples. createFolds > splits the data into k groups. > > I'm missing something here? What is the difference btw createPartition and > createFold? I guess they wouldn't be equivalent.
Well -- you could always look at the source code to find out (enter the name of the function into your R console and hit return), but you can also do some experimentation to find out. Using the data from the Examples section of caret::createFolds: R> library(caret) R> data(oil) R> part <- createDataPartition(oilType, 2) R> fold <- createFolds(oilType, 2) R> length(Reduce(intersect, part)) [1] 27 R> length(Reduce(intersect, fold)) [1] 0 Looks like `createDataPartition` split your data into smaller pieces, but allows for the same example to appear in different splits. `createFolds` doesn't allow different examples to appear in different splits of the folds. HTH, -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
